...多元线性回归预测模型；最小二乘法；t一检验 [gap=1111]Key words：vulnerability；security situation；multiple linear regression forecast model；least square；t-test ...
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Finally, a linear model is established to forecast diurnal NEE through variance analysis and multiple linear regression methods.
最后，利用方差分析和多元线性回归方法建立了预报日nee的线性模型。
Based on these, multiple linear regression, LMBP, MOBP, VLBP and BRBP model are used to forecast oil-gas prospecting cost, and each of their forecasting performances is compared.
在此基础上，采用了多元线性回归模型、LMBP模型、MOBP模型、VLBP模型与BRBP模型对油气勘探成本进行预测，并对各模型的预测性能进行了比对。
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